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documents, including OCR post-processing and parsing of legacy texts Proficiency in scientific programming (preferably Python), version control (e.g. Git), and data standards such as RDF and Darwin Core
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accessible, transparent, and reusable. Key tasks include: - Developing, applying, and validating methods for statistical disclosure control and synthetic data generation, ensuring compliance with formal
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assays: Establish cultures of host phytoplankton and their parasitoids to investigate infection dynamics under controlled conditions. Single‑cell genomics: Apply single‑cell sequencing to characterize
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command of English We offer: An interdisciplinary working environment that encourages independence and self-reliance A collegial and open-minded working atmosphere in a dynamic research institution
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such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements
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, statistics, and financial mathematics. Website: https://sites.google.com/view/trr388/ Project B03 of SFB/TRR388 concerns numerical methods for the treatment of stochastic optimal control problems and backward
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Psychology, Neuroscience, or a related field Very good methodological and statistical skills Very good command of English (written and spoken) and willingness to acquire proficiency in German within the first